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2202.01889
Cited By
Generalizing to New Physical Systems via Context-Informed Dynamics Model
1 February 2022
Matthieu Kirchmeyer
Yuan Yin
Jérémie Donà
Nicolas Baskiotis
A. Rakotomamonjy
Patrick Gallinari
OOD
AI4CE
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Papers citing
"Generalizing to New Physical Systems via Context-Informed Dynamics Model"
13 / 13 papers shown
Title
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction
Rudy Morel
Jiequn Han
Edouard Oyallon
AI4CE
51
0
0
28 Apr 2025
Meta-Dynamical State Space Models for Integrative Neural Data Analysis
Ayesha Vermani
Josue Nassar
Hyungju Jeon
Matthew Dowling
Il Memming Park
24
1
0
07 Oct 2024
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data
Manuel Brenner
Elias Weber
G. Koppe
Daniel Durstewitz
AI4TS
AI4CE
22
2
0
07 Oct 2024
Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs
Louis Serrano
Armand K. Koupai
Thomas X. Wang
Pierre Erbacher
Patrick Gallinari
AI4CE
21
3
0
04 Oct 2024
Strategies for Pretraining Neural Operators
Anthony Y. Zhou
Cooper Lorsung
AmirPouya Hemmasian
Amir Barati Farimani
AI4CE
34
4
0
12 Jun 2024
Interpretable Meta-Learning of Physical Systems
Matthieu Blanke
Marc Lelarge
AI4CE
12
4
0
01 Dec 2023
CONFIDE: Contextual Finite Differences Modelling of PDEs
Ori Linial
Orly Avner
Dotan Di Castro
19
0
0
28 Mar 2023
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning
S Chandra Mouli
M. A. Alam
Bruno Ribeiro
OOD
8
4
0
06 Mar 2023
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
197
2,254
0
18 Oct 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
888
0
02 Mar 2020
Symplectic Recurrent Neural Networks
Zhengdao Chen
Jianyu Zhang
Martín Arjovsky
Léon Bottou
139
219
0
29 Sep 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
170
634
0
19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
237
11,568
0
09 Mar 2017
1